Triple

T9529641
Position Surface form Disambiguated ID Type / Status
Subject Pielavesi E229853 entity
Predicate partOf P40 FINISHED
Object Pohjois-Savo
Pohjois-Savo is a region in Eastern Finland known for its lakes, forests, and the regional center city of Kuopio.
E930413 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pohjois-Savo | Statement: [Pielavesi, partOf, Pohjois-Savo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pohjois-Savo
Context triple: [Pielavesi, partOf, Pohjois-Savo]
  • A. Satakunta
    Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
  • B. Päijät-Häme
    Päijät-Häme is a region in southern Finland known for its lakes, forests, and the city of Lahti as its main urban center.
  • C. Kymenlaakso
    Kymenlaakso is a region in southeastern Finland known for its industrial centers, coastal location along the Gulf of Finland, and historically significant role as a settlement area for evacuees from Karelia.
  • D. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • E. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pohjois-Savo
Triple: [Pielavesi, partOf, Pohjois-Savo]
Generated description
Pohjois-Savo is a region in Eastern Finland known for its lakes, forests, and the regional center city of Kuopio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pohjois-Savo
Target entity description: Pohjois-Savo is a region in Eastern Finland known for its lakes, forests, and the regional center city of Kuopio.
  • A. Satakunta
    Satakunta is a historical province and region on the western coast of Finland, known for its industrial heritage, coastal landscapes, and the city of Pori.
  • B. Päijät-Häme
    Päijät-Häme is a region in southern Finland known for its lakes, forests, and the city of Lahti as its main urban center.
  • C. Kymenlaakso
    Kymenlaakso is a region in southeastern Finland known for its industrial centers, coastal location along the Gulf of Finland, and historically significant role as a settlement area for evacuees from Karelia.
  • D. Kainuu region
    Kainuu region is an eastern Finnish region known for its vast forests, numerous lakes, and sparsely populated rural landscapes.
  • E. Pirkanmaa region
    Pirkanmaa region is a province in southern Finland centered around the city of Tampere, known for its lakes, industry, and cultural significance.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ca8479934c81908006d0e6e970ae05 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd98b1b93481909812245ac14e4988 completed April 1, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e623a9711081908eac4238a717305c completed April 20, 2026, 1:01 p.m.
NEDg Description generation batch_69e62aee8fb88190b5973c61e692087f completed April 20, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69e67394e7f081908fcc602c84eb4a65 completed April 20, 2026, 6:42 p.m.
Created at: March 30, 2026, 8 p.m.